Clustering-Based K-Nearest Neighbor Regression for Longitudinal
Data
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Documentation for package ‘CKNNRLD’ version 0.2.0
Help Pages
| benchmark.CKNNRLD | Benchmark CKNNRLD vs KNNRLD |
| BestC | Find Optimal Number of Clusters for Longitudinal Data |
| CKNNRLD | Clustering-based KNN Regression for Longitudinal Data (CKNNRLD) |
| CKNNRLD.tune | Tune CKNNRLD Model with Automatic Cluster Selection |
| CKNNRLD_example | Simulated longitudinal data for CKNNRLD example |
| coef.CKNNRLD | Extract model information from CKNNRLD |
| fitted.CKNNRLD | Extract fitted values from CKNNRLD model |
| importance.CKNNRLD | Variable Importance for CKNNRLD using Permutation |
| KNNRLD | Standard K-Nearest Neighbor Regression for Longitudinal Data |
| KNNRLD.tune | Tune k in KNNRLD using Cross-Validation |
| performance.CKNNRLD | Performance metrics for CKNNRLD models |
| plot.CKNNRLD | Plot method for CKNNRLD objects |
| predict.CKNNRLD | Predict method for CKNNRLD objects |
| print.CKNNRLD | Print method for CKNNRLD objects |
| residuals.CKNNRLD | Extract residuals from CKNNRLD model |
| simulateCKNNRLD | Simulate Longitudinal Data for CKNNRLD |
| summary.CKNNRLD | Summary method for CKNNRLD objects |